scdhlm (0.3.1)

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Estimating Hierarchical Linear Models for Single-Case Designs.

Provides a set of tools for estimating hierarchical linear models and effect sizes based on data from single-case designs. Functions are provided for calculating standardized mean difference effect sizes that are directly comparable to standardized mean differences estimated from between-subjects randomized experiments, as described in Hedges, Pustejovsky, and Shadish (2012) ; Hedges, Pustejovsky, and Shadish (2013) ; and Pustejovsky, Hedges, and Shadish (2014) . Includes an interactive web interface.

Maintainer: James E. Pustejovsky
Author(s): James Pustejovsky [aut, cre]

License: GPL-3

Uses: nlme, boot, ggplot2, plyr, testthat, knitr, markdown, shiny, rmarkdown

Released about 3 years ago.

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